GuitarML Audio Plugins for MODEP on Raspberry Pi 3
This is a meta repository to host plugin binaries for MODEP
Check out the video demo on YouTube
Binaries can be downloaded from the Releases section.
These plugins have been tested using Pi-Stomp hardware (Raspberry Pi 3 based). They should work for any Raspberry Pi 3 MODEP device running 32-bit PatchboxOS. For running on Raspberry Pi 4 or an official MOD device, you will need to build specifically for your target.
You can deploy these plugins to your MODEP device using one of the following methods
# METHOD 1 (using scp)
# After turning on your device, open a terminal and use the following commands
# to copy the lv2 package to your device from another computer (after downloading from the Releases page).
# Note: Default password for patchboxOS is "blokaslabs"
scp -r <pluginname>.lv2 [email protected]:/home/patch/.lv2/
# Reboot your device and use the virtual pedalboard to drag an drop the new plugin into your pedalboard.
# METHOD 2 (using wget)
# After turning on your device, ssh to your device from a separate computer and pull/unzip the LV2 package from Github.
# Note: Default password for patchboxOS is "blokaslabs"
ssh [email protected]
# Once connected to the device..
cd ~/.lv2
wget https://github.com/GuitarML/modep-plugins/releases/download/v1.0/DarkStar.lv2.zip
unzip DarkStar.lv2.zip
# For TS-M1N3
wget https://github.com/GuitarML/modep-plugins/releases/download/v1.0/TS-M1N3.lv2.zip
unzip TS-M1N3.lv2.zip
# Reboot your device and use the virtual pedalboard to drag an drop the new plugin into your pedalboard.
If you are interested in compiling your own, or running on a target other than the Raspberry Pi 3, here are the links to the source code for the included plugins (see Readme's for build process):
- TS-M1N3 - TS-9 Guitar Pedal Emulator using Neural Networks
- DarkStar - Emulation of a HT40 amp in overdrive using Neural Networks
See TreeFallSound for more info on the Pi-Stomp and how to build one.
See blokas.io for more info about MODEP, the MOD DUO emulator.
See Mod devices wiki for more info on MOD-Devices and how to build plugins using the mod-plugin-builder.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent